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Shi Gu

18 papers · 2021–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (71)

Venues

CVPR (6) ICLR (4) ICML (2) NeurIPS (2) AAAI (1) ACL (1) ICCV (1) MIDL (1)

Top co-authors

Shikuang Deng (7) De Ma (6) Yuhang Li (6) Peng Lin (6) Huajin Tang (6) Gang Pan (6) Qian Zheng (6) Ruihao Gong (3) Yuhang Wu (2) Zehao Chen (2)

Research topics

Deep Learning (11) Machine Learning (10) Artificial Intelligence (9) Architectures (9) Core AI (9) Optimization & Theory Β· Machine Learning (4) Techniques (4) Computer Vision (3) Analysis (3) Application Areas (3) Core Methods (2) Optimization & Theory Β· Deep Learning (2) Healthcare & Medicine (1) Mathematics & Optimization (1) Natural Language Processing (1)

Keywords

spiking neural network (9) spiking neuron (3) surrogate gradient (3) neuromorphic computing (3) energy efficiency (2) model compression (2) gradient descent (2) neuromorphic hardware (2) event-driven computing (2) concept bottleneck model (2) information bottleneck (1) medical image segmentation (1) model interpretability (1) knowledge distillation (1) adversarial robustness (1) post-training quantization (1) event camera (1) adversarial attack (1) model robustness (1) image classification (1)

Papers

Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking Neurons CVPR 2026 eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian Splatting CVPR 2026 On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks CVPR 2026 Robust Spiking Neural Networks by Temporal Mutual Information CVPR 2026 Rounded or Streamlined Head? Bridging Concept Bottleneck Models and Attribute-Described Object Parts CVPR 2026 SΒ³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding AAAI 2026 SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models ACL 2026 Hybrid Concept Bottleneck Models CVPR 2025 Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness ICLR 2025 Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks NeurIPS 2024 Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation MIDL 2024 Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023 Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting ICLR 2022 A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration ICML 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks NeurIPS 2021 MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing ICCV 2021 Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks ICLR 2021